The overall impact of knowledge graphs for enhancing the enterprise worth of machine learning deployments is illustrated most acutely in a retrospective of the above use cases. In the fintech vertical ...

The latest advance in recommendation shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such finding is ...

LAS VEGAS--(BUSINESS WIRE)--Graph analytics and entity resolution are crucial for organizations seeking to harness the power of their data. Today, Senzing, Inc., the Smarter Entity Resolution® company ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.

Recommendation systems have advanced in recent years, but organizations still grapple with heterogeneous, sparse or insufficient data, as well as problems such as repeated patterns (echo chamber ...

BOSTON, July 23, 2019 /PRNewswire/ -- GraphAware, a leading Neo4j ISV and consulting practice, today announced the official launch of its Italian Research and Development entity Graph Aware S.r.l., ...